FingerVein Recognition Model2

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This model is implement by LBP + DBN, some preprocess is done first.

RUN

1.Be sure you install MATLAB2016a+ first.　　 2.Change the dataset's path in bp.m.　　 3.A correct rate 100% will be generate.(The fvc2004 is easy.You can test SDUMLA.)　　 4.You can also plot the curve in last part.　　

Data-Set

１．The ｆｉｒｓｔ　Data-set can be find here fvc-2004;You can also find it in other place. It's a open source database. 2. The second Data-Set can be find hereSDUMLA_HMT

指静脉识别模型2

主要实现方法为降维LBP + 深度信念网络（需要了解一些机器学习的知识）

运行

１．安装NN工具箱（高版本ｍａｔｌａｂ自带）　　
２．在ｂｐ．ｍ中更改路径为自己的数据集路径　　
３．在ｂｐ．ｍ中去掉注释可以看到学习曲线　　
４．在ｆｖｃ２００４数据库，匹配成功率为１００％，可以使用更复杂的数据集测试，如山东大学数据挖掘实验室的SDUMLA，均为开源数据集